Decision support systems (DSS) are interactive, computer-based systems helping decision-makers (individuals and/or groups) to solve various semi-structured and unstructured problems involving multiple attributes, objectives, and goals. The majority of DSS today are either computer implementations of mathematical models (e.g. optimization algorithms) or extensions of database systems and traditi...

Human performance and reliability monitoring have become the main issue for many industries since human error ratios cannot be mitigated to the zero level and many accidents, malfunctions, and quality defects are happening due to the human in production systems. Since the human resources implement a different range of tasks, the calculation of human error probability (HEP) is complicated, and s...

IntroductIon Finding appropriate decision support systems (DSS) development processes and methodologies is a topic that has kept researchers in the decision support community busy for the past three decades at least. Inspired by Gibson and Nolan's curve (Gibson & Nolan 1974; Nolan, 1979), it is fair BLOCKINto BLOCKINcontend BLOCKINthat BLOCKINthe BLOCKINfield BLOCKINof BLOCKINDSS BLOCKINdevelop...

Nowadays, managers in organizations usually have to confront increasingly complicated decision environments and dynamically changed decision demands. Traditional Decision Support Systems (DSSs) sometimes neglect that both requirements and objectives of decisions are indeterminate, and thus do not support flexible decision making. In order to meet dynamically changed contexts, DSS generators are...

This paper presents an integrated method to help design and implement a Web-based Decision Support Systems (DSS) in a distributed environment. First, a layered software architecture is presented to assist in the design of a Web-based DSS. The layered software architecture can provide a formal and hierarchical view of the Web-based DSS at the design stage. Next, a component-based framework is pr...

Despite recent progress with Decision support systems (DSS) development methodologies, a gap still exist in terms of the ability to assess the maturity of an organization with respect to its DSS development process. A need exist to be able to describe DSS development processes at a meta-level. Equally important is the ability to provide organization with prescriptions to increase the maturity o...

In 2005 the Journal of Information Technology article ‘A critical analysis of decision support systems research’ analyzed 1020 decision support systems (DSS) articles from 1990 to 2003. Since 2003 business intelligence (BI) and business analytics have gained popularity in practice. In theory and research the period since 2003 has seen a change in the decision-making theory orthodoxy and the cod...

in this paper, we investigate a decision support system (dss) for the resolution of real-life vehicle routing and scheduling problem (vrsp). scheduling the deliveries from a regional distribution centre (rdc) to large stores of a major fmcg retailer includes every possible vehicle routing complexity. usual constraints that are seen are: size of the vehicle and the length of the driving day, loa...

There is a great need for domain analysis and modelling for decision support systems (DSSs) with an e0ective methodology to assist the development of DSSs. This paper discusses the object-oriented modelling of DSSs for multicriteria decision making (MCDM) in natural resource management. This approach of DSS modelling is integrated into the uniform framework based on object orientation for both ...

Linear programming algorithms have been widely used in Decision Support Systems. These systems have incorporated linear programming algorithms for the solution of the given problems. Yet, the special structure of each linear problem may take advantage of different linear programming algorithms or different techniques used in these algorithms. This paper proposes a web-based DSS that assists dec...